---------------------------------------------------------------------------------
       log:  C:\Users\Kentaro\Documents\ISQ\Data Archive\2010 06 June\Es\Sanction
> sSurvival2.log
  log type:  text
 opened on:  21 Apr 2011, 00:30:34

. 
. use  SANCTIONSFINAL, clear

. 
. ***Table 1 Baseline Models***
. gen time2 = leader_time^2
(7 missing values generated)

. gen time3 = leader_time^3
(7 missing values generated)

. gen coldwar = year<=1990

. gen lpop = log(population)

. tsset country year
       panel variable:  country (unbalanced)
        time variable:  year, 1946 to 1997, but with gaps
                delta:  1 unit

. gen loilrsanct = lsanctionx*logoilr
(672 missing values generated)

. gen rentsanct = lsanctionx*logoilgas
(665 missing values generated)

. tab regimetype type, m

     Regime |
      Type, |
  including |
    hybrids |
    (Geddes |
      2003; |    Regime Type: 1=personalist/monarchy,
     Wright | 2=Single party/hybrids, 3=Military/Military
      2008) |         1          2          3          . |     Total
------------+--------------------------------------------+----------
   military |         0          0        284          0 |       284 
milpersonal |         0          0        191          0 |       191 
   monarchy |       468          0          0          0 |       468 
   personal |       885          0          0          0 |       885 
     sparty |         0      1,173          0          0 |     1,173 
 spmilitary |         0        174          0          0 |       174 
 sppersonal |         0        302          0          0 |       302 
    tthreat |         0          0          0        154 |       154 
------------+--------------------------------------------+----------
      Total |     1,353      1,649        475        154 |     3,631 


. tab regimetype alltype

     Regime |
      Type, |
  including |
    hybrids |
    (Geddes |
      2003; |
     Wright |    Same as <type>: 3=Tthreat
      2008) |         1          2          3 |     Total
------------+---------------------------------+----------
   military |         0          0        284 |       284 
milpersonal |         0          0        191 |       191 
   monarchy |       468          0          0 |       468 
   personal |       885          0          0 |       885 
     sparty |         0      1,173          0 |     1,173 
 spmilitary |         0        174          0 |       174 
 sppersonal |         0        302          0 |       302 
    tthreat |         0        154          0 |       154 
------------+---------------------------------+----------
      Total |     1,353      1,803        475 |     3,631 


. tab regimetype puretype, m

     Regime |
      Type, |
  including |
    hybrids |
    (Geddes |
      2003; |
     Wright |    Same as <type>: excludes all hybrids
      2008) |         1          2          3          . |     Total
------------+--------------------------------------------+----------
   military |         0          0        284          0 |       284 
milpersonal |         0          0          0        191 |       191 
   monarchy |       468          0          0          0 |       468 
   personal |       885          0          0          0 |       885 
     sparty |         0      1,173          0          0 |     1,173 
 spmilitary |         0          0          0        174 |       174 
 sppersonal |         0          0          0        302 |       302 
    tthreat |         0          0          0        154 |       154 
------------+--------------------------------------------+----------
      Total |     1,353      1,173        284        821 |     3,631 


. 
. xi:logit  leader_exit  logoilr i.type lsanctionx demobefo lpop regreg newc reld
>  coldwar forwar loggdppc growthl12 leader_time time2 time3, cluster(leader_code
> )
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -729.51898
Iteration 2:   log pseudolikelihood = -716.73737
Iteration 3:   log pseudolikelihood = -716.58594
Iteration 4:   log pseudolikelihood = -716.58588

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(16)   =     115.80
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -716.58588                 Pseudo R2       =     0.0768

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0075722   .0435871    -0.17   0.862    -.0930012    .0778569
    _Itype_2 |   .1882709   .1790158     1.05   0.293    -.1625936    .5391355
    _Itype_3 |   1.119622   .2319496     4.83   0.000     .6650091    1.574235
  lsanctionx |  -.1330116   .2221916    -0.60   0.549    -.5684991     .302476
    demobefo |  -.4217607    .249906    -1.69   0.091    -.9115674     .068046
        lpop |   .0365288   .0547054     0.67   0.504    -.0706917    .1437494
      regreg |  -.7265086   .3727639    -1.95   0.051    -1.457113    .0040953
        newc |  -.5463394   .1833634    -2.98   0.003    -.9057251   -.1869538
        reld |   .0292607   .3489847     0.08   0.933    -.6547368    .7132582
     coldwar |   .2451426   .2642975     0.93   0.354    -.2728709    .7631562
      forwar |   .3024215   .3994134     0.76   0.449    -.4804144    1.085257
    loggdppc |  -.1377181   .1091648    -1.26   0.207    -.3516771    .0762409
   growthl12 |  -.4946322   1.387423    -0.36   0.721    -3.213931    2.224667
 leader_time |   -.167471    .047127    -3.55   0.000    -.2598383   -.0751036
       time2 |   .0065054   .0025524     2.55   0.011     .0015028    .0115079
       time3 |  -.0000682   .0000369    -1.85   0.064    -.0001405    4.02e-06
       _cons |   -.576484   1.126976    -0.51   0.609    -2.785316    1.632348
------------------------------------------------------------------------------

. est store table11 

. xi:logit  leader_exit  logoilr i.type*lsanctionx demobefo lpop regreg newc reld
>  coldwar forwar loggdppc growthl12  leader_time time2 time3, cluster(leader_cod
> e)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -729.01013
Iteration 2:   log pseudolikelihood = -713.66359
Iteration 3:   log pseudolikelihood = -713.47392
Iteration 4:   log pseudolikelihood = -713.47383

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(18)   =     121.87
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -713.47383                 Pseudo R2       =     0.0809

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0113362   .0462381    -0.25   0.806    -.1019613    .0792889
    _Itype_2 |   .2784013   .1883289     1.48   0.139    -.0907165    .6475191
    _Itype_3 |   1.304758   .2476932     5.27   0.000     .8192887    1.790228
  lsanctionx |   .7598649   .4329435     1.76   0.079    -.0886888    1.608419
_ItypXlsan~2 |  -.8787664   .5361934    -1.64   0.101    -1.929686    .1721533
_ItypXlsan~3 |   -1.33414   .5469705    -2.44   0.015    -2.406182   -.2620975
    demobefo |  -.4230459    .249821    -1.69   0.090    -.9126861    .0665944
        lpop |    .035778   .0561768     0.64   0.524    -.0743264    .1458825
      regreg |  -.7383651   .3849378    -1.92   0.055    -1.492829    .0160991
        newc |  -.5777362   .1845557    -3.13   0.002    -.9394587   -.2160136
        reld |   .0442792   .3504698     0.13   0.899     -.642629    .7311873
     coldwar |   .2790582   .2650607     1.05   0.292    -.2404513    .7985677
      forwar |   .1734676   .4203516     0.41   0.680    -.6504063    .9973416
    loggdppc |  -.1423822   .1125184    -1.27   0.206    -.3629142    .0781497
   growthl12 |  -.3241005   1.400279    -0.23   0.817    -3.068597    2.420396
 leader_time |  -.1626097    .047273    -3.44   0.001    -.2552631   -.0699563
       time2 |    .006149   .0025497     2.41   0.016     .0011516    .0111463
       time3 |   -.000063   .0000368    -1.71   0.087    -.0001351    9.05e-06
       _cons |  -.6395755   1.169839    -0.55   0.585    -2.932418    1.653267
------------------------------------------------------------------------------

. est store table12 

. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld coldwar forwar loggdppc growthl12  leader_time time2 time3, cluster
> (leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -728.41409
Iteration 2:   log pseudolikelihood = -713.01828
Iteration 3:   log pseudolikelihood = -712.83096
Iteration 4:   log pseudolikelihood = -712.83087

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(19)   =     123.68
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -712.83087                 Pseudo R2       =     0.0817

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0124216   .0470187     0.26   0.792    -.0797333    .1045765
  loilrsanct |  -.1286918    .116634    -1.10   0.270    -.3572902    .0999066
    _Itype_2 |    .286354   .1883566     1.52   0.128     -.082818    .6555261
    _Itype_3 |   1.322143   .2499592     5.29   0.000     .8322321    1.812054
  lsanctionx |   .9693496   .4548226     2.13   0.033     .0779137    1.860785
_ItypXlsan~2 |  -1.021509   .5299996    -1.93   0.054    -2.060289    .0172715
_ItypXlsan~3 |  -1.473867    .567891    -2.60   0.009    -2.586913   -.3608211
    demobefo |  -.4132293   .2508259    -1.65   0.099    -.9048391    .0783804
        lpop |   .0325667   .0561335     0.58   0.562     -.077453    .1425863
      regreg |  -.7256847   .3867394    -1.88   0.061     -1.48368    .0323106
        newc |  -.5865336   .1848105    -3.17   0.002    -.9487554   -.2243117
        reld |   .0160553   .3533157     0.05   0.964    -.6764307    .7085413
     coldwar |   .2680257   .2661177     1.01   0.314    -.2535554    .7896067
      forwar |   .2621538   .4019326     0.65   0.514    -.5256196    1.049927
    loggdppc |  -.1496954   .1145079    -1.31   0.191    -.3741269     .074736
   growthl12 |  -.5337991   1.399691    -0.38   0.703    -3.277143    2.209545
 leader_time |  -.1576619   .0475189    -3.32   0.001    -.2507973   -.0645265
       time2 |   .0058575   .0025536     2.29   0.022     .0008525    .0108625
       time3 |  -.0000592   .0000367    -1.61   0.107    -.0001312    .0000128
       _cons |  -.5808788   1.181177    -0.49   0.623    -2.895944    1.734187
------------------------------------------------------------------------------

. est store table13

. xi:logit  leader_exit  logoilr i.type*lsanctionx demobefo lpop regreg newc reld
>  coldwar forwar loggdppc i.type*growthl12  leader_time time2 time3, cluster(lea
> der_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)
i.type*growt~12   _ItypXgrowt_#       (coded as above)

note: _Itype_2 dropped because of collinearity
note: _Itype_3 dropped because of collinearity
Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -728.04532
Iteration 2:   log pseudolikelihood = -711.84818
Iteration 3:   log pseudolikelihood = -711.63934
Iteration 4:   log pseudolikelihood = -711.63923

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(20)   =     129.04
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -711.63923                 Pseudo R2       =     0.0832

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0165866   .0449516    -0.37   0.712    -.1046901     .071517
    _Itype_2 |   .3504222   .1929809     1.82   0.069    -.0278134    .7286577
    _Itype_3 |   1.398155   .2594909     5.39   0.000     .8895617    1.906748
  lsanctionx |   .9419246   .4406184     2.14   0.033     .0783284    1.805521
_ItypXlsan~2 |  -1.096007   .5481915    -2.00   0.046    -2.170442   -.0215709
_ItypXlsan~3 |  -1.573204   .5611448    -2.80   0.005    -2.673027   -.4733801
    demobefo |  -.4177922   .2502028    -1.67   0.095    -.9081807    .0725964
        lpop |   .0417356   .0561269     0.74   0.457    -.0682711    .1517424
      regreg |  -.6489816   .3883985    -1.67   0.095    -1.410229    .1122656
        newc |  -.5945981   .1855741    -3.20   0.001    -.9583166   -.2308796
        reld |   .0314176   .3524853     0.09   0.929    -.6594409    .7222761
     coldwar |    .260469   .2654662     0.98   0.327    -.2598352    .7807731
      forwar |   .1587913   .4227881     0.38   0.707    -.6698581    .9874407
    loggdppc |  -.1257623    .114327    -1.10   0.271    -.3498392    .0983146
   growthl12 |    3.41851   2.334742     1.46   0.143      -1.1575    7.994521
_ItypXgrow~2 |  -5.537812   3.211937    -1.72   0.085    -11.83309    .7574689
_ItypXgrow~3 |  -6.131534   3.249246    -1.89   0.059    -12.49994    .2368723
 leader_time |  -.1559648   .0476746    -3.27   0.001    -.2494054   -.0625243
       time2 |   .0057807   .0025853     2.24   0.025     .0007135    .0108479
       time3 |  -.0000587   .0000375    -1.57   0.117    -.0001321    .0000147
       _cons |  -.9239972   1.189348    -0.78   0.437    -3.255077    1.407083
------------------------------------------------------------------------------

. est store table14

. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld coldwar forwar loggdppc i.type*growthl12  leader_time time2 time3, 
> cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)
i.type*growt~12   _ItypXgrowt_#       (coded as above)

note: _Itype_2 dropped because of collinearity
note: _Itype_3 dropped because of collinearity
Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -727.61089
Iteration 2:   log pseudolikelihood = -711.35772
Iteration 3:   log pseudolikelihood = -711.15239
Iteration 4:   log pseudolikelihood = -711.15228

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(21)   =     130.80
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -711.15228                 Pseudo R2       =     0.0838

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0045939   .0460676     0.10   0.921    -.0856969    .0948847
  loilrsanct |  -.1122542   .1123885    -1.00   0.318    -.3325316    .1080232
    _Itype_2 |   .3524488   .1922675     1.83   0.067    -.0243886    .7292862
    _Itype_3 |   1.406476   .2600165     5.41   0.000     .8968531    1.916099
  lsanctionx |   1.103638    .459848     2.40   0.016     .2023523    2.004923
_ItypXlsan~2 |  -1.196063   .5416434    -2.21   0.027    -2.257665   -.1344617
_ItypXlsan~3 |  -1.669812   .5752148    -2.90   0.004    -2.797213   -.5424122
    demobefo |  -.4091005   .2510661    -1.63   0.103    -.9011811    .0829801
        lpop |   .0386825   .0561544     0.69   0.491     -.071378    .1487431
      regreg |  -.6426229   .3900685    -1.65   0.099    -1.407143    .1218972
        newc |   -.600008   .1856501    -3.23   0.001    -.9638756   -.2361405
        reld |   .0081623    .355028     0.02   0.982    -.6876798    .7040044
     coldwar |   .2517186   .2663044     0.95   0.345    -.2702285    .7736657
      forwar |   .2385845   .4040062     0.59   0.555    -.5532531    1.030422
    loggdppc |  -.1322469   .1163107    -1.14   0.256    -.3602117    .0957178
   growthl12 |   3.067479   2.335807     1.31   0.189    -1.510618    7.645577
_ItypXgrow~2 |  -5.321994   3.190318    -1.67   0.095     -11.5749    .9309145
_ItypXgrow~3 |  -5.837659   3.254386    -1.79   0.073    -12.21614    .5408193
 leader_time |  -.1521717   .0478011    -3.18   0.001    -.2458601   -.0584832
       time2 |   .0055545   .0025838     2.15   0.032     .0004903    .0106188
       time3 |  -.0000557   .0000374    -1.49   0.136    -.0001289    .0000175
       _cons |  -.8631309   1.201576    -0.72   0.473    -3.218176    1.491914
------------------------------------------------------------------------------

. est store table15 

. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld coldwar forwar loggdppc i.type*growthl12  leader_time time2 time3 i
> f regimetype_code~=1, cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)
i.type*growt~12   _ItypXgrowt_#       (coded as above)

note: _Itype_3 dropped because of collinearity
note: _Itype_2 dropped because of collinearity
Iteration 0:   log pseudolikelihood = -722.81277
Iteration 1:   log pseudolikelihood = -676.12363
Iteration 2:   log pseudolikelihood = -664.56624
Iteration 3:   log pseudolikelihood = -664.45938
Iteration 4:   log pseudolikelihood = -664.45936

Logistic regression                               Number of obs   =       2466
                                                  Wald chi2(21)   =     125.39
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -664.45936                 Pseudo R2       =     0.0807

                          (Std. Err. adjusted for 343 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0292909   .0545947     0.54   0.592    -.0777128    .1362946
  loilrsanct |  -.1707341   .1115723    -1.53   0.126    -.3894117    .0479435
    _Itype_2 |   .1447301   .2085952     0.69   0.488    -.2641089    .5535692
  lsanctionx |   1.066158   .4725613     2.26   0.024     .1399545    1.992361
_ItypXlsan~2 |  -1.142475   .5496355    -2.08   0.038    -2.219741   -.0652096
_ItypXlsan~3 |  -1.602795   .5835192    -2.75   0.006    -2.746471   -.4591182
    demobefo |  -.4669375   .2513394    -1.86   0.063    -.9595536    .0256787
        lpop |   .0310032   .0579759     0.53   0.593    -.0826275    .1446339
      regreg |  -.5184153   .4184269    -1.24   0.215    -1.338517    .3016864
        newc |  -.5643028   .1919426    -2.94   0.003    -.9405033   -.1881023
        reld |  -.2083053   .3550827    -0.59   0.557    -.9042546    .4876439
     coldwar |   .1642337   .2749168     0.60   0.550    -.3745933    .7030608
      forwar |   .2599721   .4093401     0.64   0.525    -.5423197    1.062264
    loggdppc |  -.0613434   .1236689    -0.50   0.620      -.30373    .1810431
    _Itype_3 |   1.268111   .2622365     4.84   0.000     .7541366    1.782085
   growthl12 |   3.073862   2.453067     1.25   0.210     -1.73406    7.881785
_ItypXgrow~2 |   -5.58954   3.279067    -1.70   0.088    -12.01639    .8373132
_ItypXgrow~3 |  -6.159995   3.369146    -1.83   0.067     -12.7634    .4434107
 leader_time |  -.2003522   .0625791    -3.20   0.001    -.3230051   -.0776994
       time2 |    .010431   .0043601     2.39   0.017     .0018853    .0189768
       time3 |  -.0001631   .0000853    -1.91   0.056    -.0003303    4.19e-06
       _cons |  -1.041867   1.217403    -0.86   0.392    -3.427933    1.344199
------------------------------------------------------------------------------

. est store table16 

. xi:logit  leader_exit  logoilr loilrsanct i.alltype*lsanctionx demobefo lpop re
> greg newc reld coldwar forwar loggdppc i.alltype*growthl12  leader_time time2 t
> ime3, cluster(leader_code)
i.alltype         _Ialltype_1-3       (naturally coded; _Ialltype_1 omitted)
i.allt~e*lsan~x   _IallXlsanc_#       (coded as above)
i.allt~e*gro~12   _IallXgrowt_#       (coded as above)

note: _Ialltype_2 dropped because of collinearity
note: _Ialltype_3 dropped because of collinearity
Iteration 0:   log pseudolikelihood = -802.60149
Iteration 1:   log pseudolikelihood = -754.07927
Iteration 2:   log pseudolikelihood = -736.43207
Iteration 3:   log pseudolikelihood = -736.20154
Iteration 4:   log pseudolikelihood =  -736.2014

Logistic regression                               Number of obs   =       2949
                                                  Wald chi2(21)   =     132.27
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood =  -736.2014                 Pseudo R2       =     0.0827

                          (Std. Err. adjusted for 380 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0001328   .0457896    -0.00   0.998    -.0898788    .0896133
  loilrsanct |    -.08165   .1081644    -0.75   0.450    -.2936482    .1303482
  lsanctionx |   1.081098   .4622915     2.34   0.019     .1750232    1.987173
_IallXlsan~2 |  -1.130787   .5329203    -2.12   0.034    -2.175292   -.0862823
_IallXlsan~3 |  -1.637642   .5701119    -2.87   0.004    -2.755041   -.5202431
    demobefo |  -.4061718   .2487139    -1.63   0.102    -.8936422    .0812986
        lpop |   .0277145   .0553533     0.50   0.617     -.080776     .136205
      regreg |  -.6654677   .3768015    -1.77   0.077    -1.403985    .0730496
        newc |  -.5348269   .1829194    -2.92   0.003    -.8933423   -.1763114
        reld |   .0476135   .3553868     0.13   0.893    -.6489319    .7441589
     coldwar |    .282014   .2579402     1.09   0.274    -.2235395    .7875676
      forwar |   .1578283   .3912833     0.40   0.687    -.6090728    .9247293
    loggdppc |  -.1115753   .1140951    -0.98   0.328    -.3351977    .1120471
 _Ialltype_2 |   .2953326    .188403     1.57   0.117    -.0739305    .6645957
 _Ialltype_3 |   1.387356   .2562673     5.41   0.000     .8850814    1.889631
   growthl12 |   3.160731   2.303494     1.37   0.170    -1.354034    7.675496
_IallXgrow~2 |  -4.949374   3.175877    -1.56   0.119    -11.17398     1.27523
_IallXgrow~3 |   -5.70897   3.215111    -1.78   0.076    -12.01047    .5925315
 leader_time |  -.1660271   .0467273    -3.55   0.000    -.2576109   -.0744432
       time2 |   .0061381   .0024986     2.46   0.014     .0012409    .0110354
       time3 |  -.0000617   .0000357    -1.73   0.084    -.0001318    8.34e-06
       _cons |  -.9168419   1.172941    -0.78   0.434    -3.215763     1.38208
------------------------------------------------------------------------------

. est store table17

. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld coldwar forwar loggdppc i.type*coldwar growthl12  leader_time time2
>  time3, cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)
i.type*coldwar    _ItypXcoldw_#       (coded as above)

note: _Itype_2 dropped because of collinearity
note: _Itype_3 dropped because of collinearity
note: coldwar dropped because of collinearity
Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -727.47185
Iteration 2:   log pseudolikelihood = -711.32408
Iteration 3:   log pseudolikelihood = -711.11215
Iteration 4:   log pseudolikelihood = -711.11201

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(21)   =     128.94
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -711.11201                 Pseudo R2       =     0.0839

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0079913   .0473571     0.17   0.866    -.0848269    .1008095
  loilrsanct |  -.1410596   .1149584    -1.23   0.220    -.3663738    .0842547
    _Itype_2 |   .9271424   .5682226     1.63   0.103    -.1865534    2.040838
    _Itype_3 |   2.387022   .6756014     3.53   0.000     1.062868    3.711177
  lsanctionx |   1.195466   .4605406     2.60   0.009     .2928228    2.098109
_ItypXlsan~2 |  -1.261768   .5389783    -2.34   0.019    -2.318146   -.2053894
_ItypXlsan~3 |  -1.815756   .5908614    -3.07   0.002    -2.973823   -.6576891
    demobefo |  -.3537669   .2511978    -1.41   0.159    -.8461055    .1385717
        lpop |    .034216   .0562632     0.61   0.543    -.0760579    .1444898
      regreg |  -.6950606   .3928103    -1.77   0.077    -1.464955    .0748335
        newc |  -.6050295   .1850345    -3.27   0.001    -.9676904   -.2423686
        reld |   .0265141   .3524995     0.08   0.940    -.6643723    .7174004
     coldwar |   .8851916   .4868353     1.82   0.069    -.0689882    1.839371
      forwar |   .2478099   .4021425     0.62   0.538     -.540375    1.035995
    loggdppc |  -.1372271    .117015    -1.17   0.241    -.3665722     .092118
_ItypXcold~2 |  -.7026426   .5913532    -1.19   0.235    -1.861674    .4563884
_ItypXcold~3 |   -1.17594   .7131517    -1.65   0.099    -2.573692    .2218116
   growthl12 |  -.7281227   1.424204    -0.51   0.609    -3.519512    2.063267
 leader_time |  -.1576047    .047083    -3.35   0.001    -.2498856   -.0653238
       time2 |   .0058925   .0025334     2.33   0.020      .000927    .0108579
       time3 |  -.0000598   .0000364    -1.65   0.100    -.0001311    .0000114
       _cons |  -1.270296   1.282056    -0.99   0.322    -3.783078    1.242487
------------------------------------------------------------------------------

. est store table18

. 
. 
. *Alternative measure of oil rents and sanctions (TIES)*
. xi:logit  leader_exit   logoilgas rentsanct i.type*lsanctionx demobefo lpop reg
> reg newc reld coldwar forwar loggdppc i.type*growthl12  leader_time time2 time3
> , cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)
i.type*growt~12   _ItypXgrowt_#       (coded as above)

note: _Itype_3 dropped because of collinearity
note: _Itype_2 dropped because of collinearity
Iteration 0:   log pseudolikelihood = -756.99499
Iteration 1:   log pseudolikelihood = -713.56284
Iteration 2:   log pseudolikelihood = -694.90735
Iteration 3:   log pseudolikelihood = -694.66331
Iteration 4:   log pseudolikelihood = -694.66316

Logistic regression                               Number of obs   =       2814
                                                  Wald chi2(21)   =     119.38
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -694.66316                 Pseudo R2       =     0.0823

                          (Std. Err. adjusted for 356 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilgasr~s |   .0117482   .0397963     0.30   0.768    -.0662511    .0897475
   rentsanct |  -.0599624   .0748285    -0.80   0.423    -.2066236    .0866989
    _Itype_2 |   .2684685   .2011077     1.33   0.182    -.1256952    .6626323
  lsanctionx |   .9714926   .4634042     2.10   0.036      .063237    1.879748
_ItypXlsan~2 |  -.8876109   .5366309    -1.65   0.098    -1.939388    .1641664
_ItypXlsan~3 |  -1.453615   .5658306    -2.57   0.010    -2.562622   -.3446071
    demobefo |   -.522956   .2708309    -1.93   0.053    -1.053775    .0078628
        lpop |    .032397   .0595287     0.54   0.586     -.084277     .149071
      regreg |  -1.134569   .4020505    -2.82   0.005    -1.922574   -.3465645
        newc |  -.3096934   .1897896    -1.63   0.103    -.6816742    .0622874
        reld |  -.3958367    .365308    -1.08   0.279    -1.111827    .3201538
     coldwar |   .3685941   .2594146     1.42   0.155    -.1398491    .8770374
      forwar |   .2610956   .3945589     0.66   0.508    -.5122256    1.034417
    loggdppc |  -.2158974   .1333988    -1.62   0.106    -.4773543    .0455595
    _Itype_3 |   1.562704   .2700983     5.79   0.000     1.033321    2.092087
   growthl12 |   4.726453   2.327635     2.03   0.042     .1643725    9.288534
_ItypXgrow~2 |  -5.670526   3.163906    -1.79   0.073    -11.87167    .5306158
_ItypXgrow~3 |  -7.151776   3.195652    -2.24   0.025    -13.41514   -.8884127
 leader_time |  -.1205061   .0470824    -2.56   0.010    -.2127859   -.0282264
       time2 |   .0044704   .0025245     1.77   0.077    -.0004775    .0094183
       time3 |  -.0000441   .0000358    -1.23   0.218    -.0001142     .000026
       _cons |  -.1519344   1.330725    -0.11   0.909    -2.760108    2.456239
------------------------------------------------------------------------------

. est store tableA1

. 
. gen ltsanction=l.tsanction
(144 missing values generated)

. gen loilrtsanct=ltsanction*logoilr
(715 missing values generated)

. xi:logit  leader_exit  logoilr loilrtsanct i.type*ltsanction demobefo lpop regr
> eg newc reld coldwar forwar loggdppc i.type*growthl12  leader_time time2 time3 
> if year>1970, cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*ltsanc~n   _ItypXltsan_#       (coded as above)
i.type*growt~12   _ItypXgrowt_#       (coded as above)

note: _Itype_2 dropped because of collinearity
note: _Itype_3 dropped because of collinearity
Iteration 0:   log pseudolikelihood = -556.22051
Iteration 1:   log pseudolikelihood = -514.88976
Iteration 2:   log pseudolikelihood = -500.58691
Iteration 3:   log pseudolikelihood = -500.35209
Iteration 4:   log pseudolikelihood = -500.35113
Iteration 5:   log pseudolikelihood = -500.35113

Logistic regression                               Number of obs   =       2044
                                                  Wald chi2(21)   =     133.33
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -500.35113                 Pseudo R2       =     0.1004

                          (Std. Err. adjusted for 290 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |    .001614   .0538323     0.03   0.976    -.1038953    .1071233
 loilrtsanct |  -.1848509   .0920889    -2.01   0.045    -.3653419     -.00436
    _Itype_2 |   .2629579   .2454312     1.07   0.284    -.2180785    .7439942
    _Itype_3 |   1.312498   .2861807     4.59   0.000     .7515942    1.873402
  ltsanction |   .9417951   .4246671     2.22   0.027      .109463    1.774127
_ItypXltsa~2 |   -.548401   .4764213    -1.15   0.250     -1.48217    .3853677
_ItypXltsa~3 |  -2.340041   .6355884    -3.68   0.000    -3.585772   -1.094311
    demobefo |  -.3064134   .2694642    -1.14   0.255    -.8345535    .2217266
        lpop |   .0952776   .0597953     1.59   0.111    -.0219191    .2124743
      regreg |    -.77142   .4187902    -1.84   0.065    -1.592234    .0493937
        newc |  -.7267415   .2086672    -3.48   0.000    -1.135722   -.3177612
        reld |   .0693758   .3982264     0.17   0.862    -.7111336    .8498852
     coldwar |   .2484755   .2766288     0.90   0.369    -.2937069     .790658
      forwar |   .5271548   .4095169     1.29   0.198    -.2754836    1.329793
    loggdppc |  -.2007877   .1222073    -1.64   0.100    -.4403096    .0387342
   growthl12 |   3.642796   3.047155     1.20   0.232    -2.329518     9.61511
_ItypXgrow~2 |  -4.413253   3.729007    -1.18   0.237    -11.72197    2.895466
_ItypXgrow~3 |  -4.420605   3.758236    -1.18   0.239    -11.78661    2.945403
 leader_time |  -.1706749   .0589826    -2.89   0.004    -.2862788   -.0550711
       time2 |   .0073296   .0032894     2.23   0.026     .0008825    .0137767
       time3 |  -.0000899   .0000503    -1.79   0.074    -.0001886    8.75e-06
       _cons |  -.6418599   1.244828    -0.52   0.606    -3.081677    1.797957
------------------------------------------------------------------------------

. est store tableA2

. 
. 
. 
. *Alternative measure of regional democracy presence*
. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop  neig
> hbordemocracy newc reld coldwar forwar loggdppc growthl12 leader_time time2 tim
> e3, cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood = -775.16363
Iteration 1:   log pseudolikelihood = -726.40115
Iteration 2:   log pseudolikelihood = -711.64011
Iteration 3:   log pseudolikelihood = -711.45493
Iteration 4:   log pseudolikelihood = -711.45484

Logistic regression                               Number of obs   =       2794
                                                  Wald chi2(19)   =     119.66
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -711.45484                 Pseudo R2       =     0.0822

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0122548    .047287     0.26   0.796    -.0804259    .1049355
  loilrsanct |  -.1296274   .1160582    -1.12   0.264    -.3570973    .0978424
    _Itype_2 |   .2386135   .1905067     1.25   0.210    -.1347728    .6119997
    _Itype_3 |   1.314092   .2483624     5.29   0.000      .827311    1.800874
  lsanctionx |   .9520183   .4620439     2.06   0.039     .0464289    1.857608
_ItypXlsan~2 |  -1.041921   .5295829    -1.97   0.049    -2.079884   -.0039573
_ItypXlsan~3 |  -1.432363   .5721331    -2.50   0.012    -2.553723   -.3110027
    demobefo |   -.381989   .2463586    -1.55   0.121     -.864843    .1008651
        lpop |   .0310565   .0580489     0.54   0.593    -.0827173    .1448304
neighborde~y |   .7408484   .3412061     2.17   0.030     .0720966      1.4096
        newc |  -.5724343   .1863347    -3.07   0.002    -.9376436   -.2072249
        reld |   .0115008   .3505072     0.03   0.974    -.6754806    .6984822
     coldwar |   .2500075   .2675424     0.93   0.350     -.274366    .7743811
      forwar |    .272748   .4061696     0.67   0.502    -.5233297    1.068826
    loggdppc |  -.1983904   .1183692    -1.68   0.094    -.4303898    .0336091
   growthl12 |     -.5112   1.396802    -0.37   0.714    -3.248883    2.226483
 leader_time |  -.1583464   .0471791    -3.36   0.001    -.2508156   -.0658771
       time2 |   .0057282   .0025701     2.23   0.026     .0006908    .0107656
       time3 |  -.0000567   .0000371    -1.53   0.127    -.0001293     .000016
       _cons |  -.9227957   1.154362    -0.80   0.424    -3.185304    1.339712
------------------------------------------------------------------------------

. est store tableA3

. *Baseline Model including Civil War dummy*
. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld  coldwar forwar civwar loggdppc growthl12 leader_time time2 time3, 
> cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -724.21116
Iteration 2:   log pseudolikelihood = -706.27578
Iteration 3:   log pseudolikelihood = -706.07299
Iteration 4:   log pseudolikelihood = -706.07289

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(20)   =     133.60
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -706.07289                 Pseudo R2       =     0.0904

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0006425   .0462494    -0.01   0.989    -.0912896    .0900045
  loilrsanct |  -.1197474   .1230399    -0.97   0.330    -.3609011    .1214063
    _Itype_2 |   .2435107   .1884544     1.29   0.196    -.1258532    .6128745
    _Itype_3 |   1.284897   .2473349     5.19   0.000     .8001295    1.769664
  lsanctionx |   .8002441   .4699949     1.70   0.089    -.1209291    1.721417
_ItypXlsan~2 |  -.9122785   .5403591    -1.69   0.091    -1.971363    .1468059
_ItypXlsan~3 |  -1.427675    .595162    -2.40   0.016    -2.594171    -.261179
    demobefo |  -.4908203   .2595084    -1.89   0.059    -.9994475    .0178069
        lpop |   .0262702   .0581997     0.45   0.652    -.0877991    .1403394
      regreg |  -.8436777   .3900707    -2.16   0.031    -1.608202   -.0791533
        newc |  -.5648021    .185959    -3.04   0.002     -.929275   -.2003292
        reld |   .1715069    .356515     0.48   0.630    -.5272496    .8702635
     coldwar |    .382704   .2745868     1.39   0.163    -.1554761    .9208841
      forwar |   .1117943     .41166     0.27   0.786    -.6950445     .918633
      civwar |   .8154297   .2184509     3.73   0.000     .3872738    1.243586
    loggdppc |  -.0411001   .1161572    -0.35   0.723    -.2687639    .1865638
   growthl12 |   .4050536   1.344221     0.30   0.763    -2.229572    3.039679
 leader_time |  -.1556441    .047747    -3.26   0.001    -.2492265   -.0620617
       time2 |   .0058995   .0025698     2.30   0.022     .0008627    .0109362
       time3 |  -.0000606    .000037    -1.64   0.101    -.0001331    .0000119
       _cons |   -1.47362   1.189284    -1.24   0.215    -3.804574     .857335
------------------------------------------------------------------------------

. est store tableA4

. *Use splines, not polynomials*
. xi:logit  leader_exit  logoilr loilrsanct i.type*lsanctionx demobefo lpop regre
> g newc reld  coldwar forwar loggdppc growthl12 spli*, cluster(leader_code)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -737.03044
Iteration 2:   log pseudolikelihood = -700.49844
Iteration 3:   log pseudolikelihood = -700.30111
Iteration 4:   log pseudolikelihood = -700.30096

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(19)   =     172.94
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -700.30096                 Pseudo R2       =     0.0978

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |   .0197523   .0465176     0.42   0.671    -.0714205    .1109251
  loilrsanct |  -.1501801   .1173067    -1.28   0.200    -.3800971    .0797368
    _Itype_2 |   .2895617   .1888241     1.53   0.125    -.0805267      .65965
    _Itype_3 |   1.355076   .2522831     5.37   0.000     .8606099    1.849542
  lsanctionx |   .9768126   .4554595     2.14   0.032     .0841284    1.869497
_ItypXlsan~2 |  -1.074251   .5319775    -2.02   0.043    -2.116908    -.031594
_ItypXlsan~3 |  -1.579164   .5634713    -2.80   0.005    -2.683547   -.4747801
    demobefo |  -.4177651   .2498426    -1.67   0.095    -.9074475    .0719173
        lpop |   .0437368   .0558915     0.78   0.434    -.0658085    .1532822
      regreg |  -.8019049   .3787766    -2.12   0.034    -1.544293   -.0595163
        newc |  -.5955103   .1812313    -3.29   0.001    -.9507172   -.2403035
        reld |   .0192789   .3503866     0.06   0.956    -.6674662     .706024
     coldwar |   .2251634   .2631428     0.86   0.392    -.2905871    .7409139
      forwar |   .3028179    .409879     0.74   0.460    -.5005302    1.106166
    loggdppc |  -.1537205   .1122382    -1.37   0.171    -.3737033    .0662623
   growthl12 |  -.5335405   1.453617    -0.37   0.714    -3.382577    2.315496
       spli1 |   -1.21614   .2259621    -5.38   0.000    -1.659018   -.7732625
       spli2 |   .0037929   .0538701     0.07   0.944    -.1017905    .1093763
       spli3 |  -.0154963   .0151937    -1.02   0.308    -.0452754    .0142829
       _cons |  -.2064474   1.161225    -0.18   0.859    -2.482406    2.069511
------------------------------------------------------------------------------

. est store tableA5

. 
. 
. ***Table 2 Clarify Simulations***
. 
. xi:logit  leader_exit  logoilr i.type*lsanctionx demobefo lpop regreg newc reld
>  forwar  coldwar loggdppc growthl12 leader_time time2 time3, cluster(leader_cod
> e)
i.type            _Itype_1-3          (naturally coded; _Itype_1 omitted)
i.type*lsanct~x   _ItypXlsanc_#       (coded as above)

Iteration 0:   log pseudolikelihood =  -776.2373
Iteration 1:   log pseudolikelihood = -729.01013
Iteration 2:   log pseudolikelihood = -713.66359
Iteration 3:   log pseudolikelihood = -713.47392
Iteration 4:   log pseudolikelihood = -713.47383

Logistic regression                               Number of obs   =       2807
                                                  Wald chi2(18)   =     121.87
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -713.47383                 Pseudo R2       =     0.0809

                          (Std. Err. adjusted for 369 clusters in leader_code)
------------------------------------------------------------------------------
             |               Robust
 leader_exit |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
logoilrese~s |  -.0113362   .0462381    -0.25   0.806    -.1019613    .0792889
    _Itype_2 |   .2784013   .1883289     1.48   0.139    -.0907165    .6475191
    _Itype_3 |   1.304758   .2476932     5.27   0.000     .8192887    1.790228
  lsanctionx |   .7598649   .4329435     1.76   0.079    -.0886888    1.608419
_ItypXlsan~2 |  -.8787664   .5361934    -1.64   0.101    -1.929686    .1721533
_ItypXlsan~3 |   -1.33414   .5469705    -2.44   0.015    -2.406182   -.2620975
    demobefo |  -.4230459    .249821    -1.69   0.090    -.9126861    .0665944
        lpop |    .035778   .0561768     0.64   0.524    -.0743264    .1458825
      regreg |  -.7383651   .3849378    -1.92   0.055    -1.492829    .0160991
        newc |  -.5777362   .1845557    -3.13   0.002    -.9394587   -.2160136
        reld |   .0442792   .3504698     0.13   0.899     -.642629    .7311873
      forwar |   .1734676   .4203516     0.41   0.680    -.6504063    .9973416
     coldwar |   .2790582   .2650607     1.05   0.292    -.2404513    .7985677
    loggdppc |  -.1423822   .1125184    -1.27   0.206    -.3629142    .0781497
   growthl12 |  -.3241005   1.400279    -0.23   0.817    -3.068597    2.420396
 leader_time |  -.1626097    .047273    -3.44   0.001    -.2552631   -.0699563
       time2 |    .006149   .0025497     2.41   0.016     .0011516    .0111463
       time3 |   -.000063   .0000368    -1.71   0.087    -.0001351    9.05e-06
       _cons |  -.6395755   1.169839    -0.55   0.585    -2.932418    1.653267
------------------------------------------------------------------------------

. bysort type: sum logoilr leader_time growthl12 time2 time3 if e(sample)  

---------------------------------------------------------------------------------
-> type = 1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
logoilrese~s |      1043    1.326188    2.757488          0   9.933048
 leader_time |      1043    12.75743    11.12879          0         62
   growthl12 |      1043    .0065327     .061498  -.3605045   .3290525
       time2 |      1043    286.4832    500.8352          0       3844
       time3 |      1043    8841.749    24415.48          0     238328

---------------------------------------------------------------------------------
-> type = 2

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
logoilrese~s |      1344    .6373953    1.517266          0   6.440189
 leader_time |      1344    11.18527    9.067747          0         45
   growthl12 |      1344    .0164332    .0491552  -.2611604    .227236
       time2 |      1344    207.2731    310.2174          0       2025
       time3 |      1344    4984.167    10743.41          0      91125

---------------------------------------------------------------------------------
-> type = 3

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
logoilrese~s |       420    .3918244    .9819619          0   4.406768
 leader_time |       420    4.904762    4.759162          1         26
   growthl12 |       420    .0160853    .0498508  -.2622118   .2950535
       time2 |       420    46.65238    95.39071          1        676
       time3 |       420    652.4048    2055.943          1      17576

---------------------------------------------------------------------------------
-> type = .

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
logoilrese~s |         0
 leader_time |         0
   growthl12 |         0
       time2 |         0
       time3 |         0


. estsimp logit  leader_exit  logoilr   _Itype_2 _Itype_3   lsanctionx   _ItypXls
> anc_2 _ItypXlsanc_3 demobefo lpop regreg newc reld  coldwar forwar   loggdppc g
> rowthl12 leader_time time2 time3, cluster(leader_code)
unrecognized command:  estsimp
r(199);

end of do-file

r(199);


. exit, clear
